code: def main():
      print("Home Credit Default!")
  
      # TODO only load all data when training
      train_x_df, train_y_df = data_prep(input_file)
  
      if predict_row != -1:
          predict(train_x_df, train_y_df)
      elif bench_prediction != -1:
          benchmark(train_x_df, train_y_df)
      else:
          train(train_x_df, train_y_df)
  
file_path: tf-encrypted/examples/application/house-credit-default/main.py
imports: import argparse
  import os
  import time
  import tensorflow
  import tf2onnx
  from tensorflow import keras
  from tensorflow.keras import layers
  from tensorflow.python import errors_impl
  from utils import data_prep
  from utils import read_one_row
label_desc: Use image node_id 8 for calling a global function with example usage: main() without return types